TY - JOUR
T1 - One-year surveillance of SARS-CoV-2 transmission of the ELISA cohort
T2 - A model for population-based monitoring of infection risk
AU - Klein, Christine
AU - Borsche, Max
AU - Balck, Alexander
AU - Föh, Bandik
AU - Rahmöller, Johann
AU - Peters, Elke
AU - Knickmann, Jan
AU - Lane, Miranda
AU - Vollstedt, Eva-Juliane
AU - Elsner, Susanne A
AU - Käding, Nadja
AU - Hauswaldt, Susanne
AU - Lange, Tanja
AU - Hundt, Jennifer E
AU - Lehrian, Selina
AU - Giese, Julia
AU - Mischnik, Alexander
AU - Niemann, Stefan
AU - Maurer, Florian
AU - Homolka, Susanne
AU - Paulowski, Laura
AU - Kramer, Jan
AU - Twesten, Christoph
AU - Sina, Christian
AU - Gillessen-Kaesbach, Gabriele
AU - Busch, Hauke
AU - Ehlers, Marc
AU - Taube, Stefan
AU - Rupp, Jan
AU - Katalinic, Alexander
N1 - Publisher Copyright:
Copyright © 2022 The Authors, some rights reserved.
PY - 2022/4/15
Y1 - 2022/4/15
N2 - With newly rising coronavirus disease 2019 (COVID-19) cases, important data gaps remain on (i) long-term dynamics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection rates in fixed cohorts (ii) identification of risk factors, and (iii) establishment of effective surveillance strategies. By polymerase chain reaction and antibody testing of 1% of the local population and >90,000 app-based datasets, the present study surveilled a catchment area of 300,000 inhabitants from March 2020 to February 2021. Cohort (56% female; mean age, 45.6 years) retention was 75 to 98%. Increased risk for seropositivity was detected in several high-exposure groups, especially nurses. Unreported infections dropped from 92 to 29% during the study. "Contact to COVID-19-affected" was the strongest risk factor, whereas public transportation, having children in school, or tourism did not affect infection rates. With the first SARS-CoV-2 cohort study, we provide a transferable model for effective surveillance, enabling monitoring of reinfection rates and increased preparedness for future pandemics.
AB - With newly rising coronavirus disease 2019 (COVID-19) cases, important data gaps remain on (i) long-term dynamics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection rates in fixed cohorts (ii) identification of risk factors, and (iii) establishment of effective surveillance strategies. By polymerase chain reaction and antibody testing of 1% of the local population and >90,000 app-based datasets, the present study surveilled a catchment area of 300,000 inhabitants from March 2020 to February 2021. Cohort (56% female; mean age, 45.6 years) retention was 75 to 98%. Increased risk for seropositivity was detected in several high-exposure groups, especially nurses. Unreported infections dropped from 92 to 29% during the study. "Contact to COVID-19-affected" was the strongest risk factor, whereas public transportation, having children in school, or tourism did not affect infection rates. With the first SARS-CoV-2 cohort study, we provide a transferable model for effective surveillance, enabling monitoring of reinfection rates and increased preparedness for future pandemics.
UR - http://www.scopus.com/inward/record.url?scp=85128472730&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/ee784201-044e-351c-9bb8-488e22768e69/
U2 - 10.1126/sciadv.abm5016
DO - 10.1126/sciadv.abm5016
M3 - Journal articles
C2 - 35427158
SN - 2375-2548
VL - 8
JO - Science Advances
JF - Science Advances
IS - 15
M1 - eabm5016
ER -
